Summary of the Conference Call for 深信服 Company Overview - 深信服 operates primarily in the network security (60%-70% of revenue) and cloud computing sectors, with expectations for both to contribute equally by 2025-2026 [2][4] - The company has over 20 years of history, initially focusing on network security before expanding into cloud computing in 2015 [4] Key Insights and Arguments - **Network Security Business**: - Focuses on productization rather than operational services, maintaining a high gross margin of around 80% [5] - Products include VPNs, next-generation firewalls, and situational awareness tools, contributing 7%-8% to total revenue [5] - The business has stabilized and is expected to recover growth through AI-enhanced automated operations [6] - **Cloud Computing Development**: - The company leads the market in hyper-converged infrastructure, particularly benefiting from domestic substitution demand as foreign competitors exit [7] - Achieved nearly 20% growth in the first half of 2024, driven by increased demand from small and medium enterprises [7] - **AI Opportunities**: - 深信服 is well-positioned to leverage AI trends, providing comprehensive solutions for enterprises transitioning to AI, including data preparation, model training, and deployment [8] - The company’s strengths in cloud services and data governance allow it to integrate deeply with both foundational cloud and upper-level AI models [12] - **Financial Performance and Projections**: - Signs of recovery were noted in Q2 2025, with revenue growth, profit turnaround, and improved cash flow [13] - Projected cash flow for 2025 is estimated at 1.3-1.5 billion, with a valuation based on a 30x P/E ratio suggesting a safety margin of approximately 40-45 billion [13] - Long-term conservative valuation could reach 100 billion, significantly driven by cloud computing contributions [13] Additional Important Points - **Market Positioning**: - The company primarily serves mid-tier clients, avoiding direct competition with larger players like Alibaba [12] - **Future Growth Potential**: - If revenue growth reaches 10%-20% in 2026, the valuation could exceed 90 billion, with significant contributions from cloud computing [13] - The overall market sentiment towards the AI industry is positive, allowing for early investment without waiting for 2026 performance [13]

据证券时报，9月17日，华为全联接大会2025期间，华为正式发布华为坤灵智能商业场景方案，涵盖 酒店、门店和商超三大主要商业场景，包括业界首款防偷拍AP（无线接入点，可理解为Wi-Fi设备） 及光网络与安防合一的门店宝、超融合一体机、直播宝等，防偷拍AP能检测偷拍摄像头，防止酒店偷 拍事件。 ...

Core Viewpoint - Zhongke Shuguang's performance in the first half of 2025 exceeded expectations, with operating revenue of 5.85 billion yuan, a year-on-year increase of 2.41%, and a net profit attributable to shareholders of 729 million yuan, a significant year-on-year growth of 29.39% [1][4] Financial Performance - Operating revenue reached 5.85 billion yuan, reflecting a year-on-year growth of 2.41% [4] - Net profit attributable to shareholders was 729 million yuan, marking a year-on-year increase of 29.39% [4] - Deducting non-recurring gains and losses, net profit grew by 55.20% to 569 million yuan [1][4] - The net cash flow from operating activities was -1.381 billion yuan, worsening by 447 million yuan compared to the same period last year, primarily due to increased procurement payments and the purchase of large bank time deposits [1][4] Business Development - The company's profitability significantly improved, with the gross margin of high-end computer products reaching 15.33% [1][2] - IT equipment business revenue accounted for over 90%, with high-end computer products generating 4.559 billion yuan, representing 78.07% of total revenue [2] - The company has completed a full industry chain layout covering general computers, liquid cooling hardware, distributed storage, and network security, creating strong synergy effects [1][2] Strategic Initiatives - A major asset restructuring has been initiated with Haiguang Information, aiming to achieve complementary advantages in chip design and data center infrastructure [3] - The strategic integration is expected to accelerate the construction of the computing power industry ecosystem and enhance competitiveness against international leaders [3] - The company is increasing R&D investment in intelligent computing, advanced storage, and green computing, promoting technological innovation and product upgrades [3]

【深圳商报讯】（记者 詹钰叶）近来多家算力产业链上市公司披露了2025年半年报或半年度业绩预 告，得益于基础算力设施的持续建设、人工智能相关算力投资的稳步增长等因素，不少公司业绩实现增 长。业内看好国产AI算力芯片等产业的前景。 今年以来算力板块股票普涨。数据显示，胜宏科技股价涨近480%（前复权），东芯股份、汇金股份、 宏景科技、新易盛、ST迪威迅、亿田智能、芯原股份股价涨逾200%，科泰电源、ST华通、海兰信、中 际旭创、并行科技、长芯博创、优刻得等23家公司股价涨逾100%。 还有不少上市公司正积极布局算力产业链。生益电子日前发布了关于投资智能制造高多层算力电路板项 目的公告，为满足服务器、高多层网络通信及快速发展的AI算力等中高端市场需求，拟总投资金额约 为19亿元。北京思特奇信息技术股份有限公司相关负责人本月在互动平台透露，公司构建了覆盖"算力- 数据-模型-智能体"的全栈AI生态服务体系。广电运通集团股份有限公司相关负责人在互动平台称，公 司打造了广州政务信创云、区级政务云、国资国企云、AI智算云等专属云服务，推出自主可控的运通 云、智算调度平台、超融合一体机等专属云产品。 长城证券分析师侯宾指出 ...

Group 1 - The Chongqing government has issued a plan to accelerate the development of "5G + Industrial Internet," focusing on infrastructure upgrades, technological innovation, and industry integration [1][2] - The plan aims to enhance the service capabilities of new industrial networks represented by 5G, with a target of constructing 30 new city-level 5G factories by 2027 [2] - The initiative is expected to significantly boost investments in industrial computing infrastructure, benefiting related listed companies such as computing infrastructure suppliers and industrial internet platform providers [3] Group 2 - Companies are increasingly investing in the industrial computing market, with notable developments from Beijing Siter Technology and Guangdian Yuntong Group, which are building comprehensive AI ecosystems and cloud services [4] - Several listed companies, including Inspur Electronic Information Industry and Foxconn Industrial Internet, are actively expanding in the industrial computing sector, with Foxconn reporting a revenue increase of 35.58% year-on-year in the first half of 2025 [5] - The current competitive landscape in the industrial computing industry is shifting towards ensuring low latency and high reliability, with a focus on integrating AI frameworks and real-time operating systems [3][6]